ABR

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Ico logo abr.jpg Augmented bionic limbs
Rating 2.5
Team Vision Product
3.1 3.6 2.6


Summary[edit]

ABR is a chain of decentralized labs conducting research into the field of human-machine interface and bionic engineering.

Token AUG
Price 1 AUG = 0.5 - 1 USD
1ETH = 250-500 AUG
Bonus Available
Platform Ethereum
Accepting ETH
Hard cap 2000 ETH
Tokens for sale 11000000
Country Russia
preICO start preICO end ICO start ICO end
2017-09-19 00:00:00 2017-10-19 00:00:00 n/a n/a


About[edit]

ABR is a chain of decentralized labs conducting research into the field of human-machine interface and bionic engineering. Collaboration with the best specialists and laboratories, fast hypothesis verification/hypothesis testing, using flexible methodologies help to shorten the new technology development process from 5-7 to 1,5-2 years.

The “RECONSTRUCT” project is a set of technologies necessary for developing augmented bionic limbs which are as close as possible to the original ones, given to human by nature. The “RECONSTRUCT” project uses the principles of bionic engineering to ultimately recreate/restore a limb. Not only is the external view reconstructed but also the structure: bones, muscles and tendons which altogether provide fluency and accuracy in movement. Bionic augmented limbs are used in prosthetic repair, science and astronautic/space field.

New Generation of Bionics


ABR has developed a pack of innovative technologies intended to create bionic limbs of a new quality leve

Human Engineering pack

The parts used in products reproduce the bones and tendons of a real human arm, the cinematics is based on natural gestures. Typical industrial elements of construction are not used which helps to achieve fluency and authenticity of movement that mechanical prostheses are unable to provide.

AM technologies

Technologies of additive manufacturing are used in the project. -scanning of the remaining limb allows to create the exact model of the lost limb. The scanning result is compared to the master-model thus making the prototype ready for printing. Printing production with the usage of innovative materials such as flex rubber and titanium completely duplicates the natural arm/limb. The customer gets their individual RECONSTRUCT modification that fully corresponds to the lost limb and fits perfectly.

Muscle Intelligence

The technology is based on the spectromyographic recognition of muscular tissue activity. Owing to the development of surficial myography processed by spectral analysis method, further wavelet transformation and comparison to the biochemical model/prototype we get the new quality level of recognizing muscular signals. For a wider potential of RECONSTRUCT there are possibilities to remotely update its version.


Team[edit]

Team photo 558-4551.jpg
Ivan Fil
Management
Team photo 558-4552.jpg
Dmitriy Potehin
Signal Recognition
Team photo 558-4553.jpg
Iliya Tarasov
Signal Recognition


Team photo 558-4554.jpg
Stepan Korneevets
Lead Engineer
Team photo 558-4555.jpg
Sergey Nikiforov
Lead Electronix
Team photo 558-4556.jpg
Evgeniy Bulava
Lead Programmer



Milestones[edit]

  1. June 2016
    the start of MI technology development
  2. October 2016 – the start of HE technology development
    the start of HE technology development
  3. May 2017
    additive technologies
  4. July 2017
    creating MI working prototype
  5. September 2017
    Pre-ICO
  6. October, 1 2017
    presenting a demo prototype of RECONSTRUCT
  7. October 2017
    ICO of RECONSTRUCT
  8. February 2018
    RECONSTRUCT Prototype II
  9. May 2018
    Electrinics for MI technology
  10. August 2018
    R3 Prototype: ready for production
  11. Q3 2018 - Q4 209
    Experimental Installations of Reconstruction

Ratings[edit]

Expert photo berkay-alp-1509132000.jpg

Berkay Alp - ICO Analyzer
Rated on 2017-10-27

Rating
Team Vision Product
2 3 2

Expert photo simon-choi-1513215220.jpg

Simon Choi - Fintech & ICO Lawyer
Rated on 2017-12-25

Rating
Team Vision Product
4 4 3

Expert photo benchy.jpg

Benchy - ICO Analyzer Bot
Rated on 2018-09-26

Rating
Team Vision Product
0 0 0